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Part 1: How LinkedIn Detects Automation—Session Access and Browser Signals


Posted on by Michael Chukwube

Key Takeaways:
  • Login isn't lasting trust. Once automation takes over a session, you need to know which system is acting through the account.
  • Sharing a session means sharing credentials. A copied session token carries the full authority of a login, and MFA doesn't stop its misuse.
  • Extensions can expose themselves. LinkedIn can detect installed extensions through the files they make visible to the page.

A sales employee signs in to LinkedIn, completes a security challenge, and connects a Linkedin Automation tool. The tool begins working in the background. From the employee's perspective, a repetitive task has become easier. From a security team's perspective, an important question has just appeared: which system is now acting through that employee's authenticated session?

The distinction between successful authentication and continuing trust is central. A login establishes an identity at a particular moment. It does not establish that every subsequent action comes from the same person, device, or approved workflow. When software takes over part of a session, the organization must understand what authority has moved and whether its controls still apply.

The LinkedIn automation security study published by Linked Helper examined 16 extensions and reported that some transferred LinkedIn session cookies to vendor infrastructure, while others kept authentication local. LinkedIn Helper sells automation software, so this is vendor research with a commercial interest. Its relevant contribution here is the distinction between processing data through a local session and handing that session to another operator.

For this article, supplied audit reports were cross-checked against archived versions of HeyReach, Dux-Soup, and Waalaxy Alien Copilot. The review examined how the extensions obtain access to a signed-in account, pass information to other systems and interact with the browser. These findings describe the versions reviewed. No new live tests of data transfers or session termination were performed.

LinkedIn's own cookie table, updated in August 2026, describes cookies that keep members signed in and authenticate requests. It separately describes cookies for browser identification, bot detection, and detecting malicious extension activity. Authentication and abuse detection have distinct roles in the same browsing session, a useful reminder that possession of an accepted credential is only one part of the security picture.

When Authentication Material Moves

Consider what changes when an integration receives an authenticated cookie. The supplier may gain the ability to act within the session's permissions without collecting a password through its own interface. OWASP's session management guidance explains why the session token is security sensitive: while valid, it represents the authentication already completed. Multifactor authentication at login therefore does not, by itself, prevent misuse of a subsequently exposed session. Whether a copied token works also depends on expiry, revocation, and additional server checks.

This should change how a business evaluates onboarding. A security review that asks only whether a supplier stores passwords can miss a different form of credential handling. The review should establish whether the service receives reusable authentication material, where that material resides, which people or systems can access it, and how the organization can withdraw that access. A user clicking a connection button does not answer these questions.

Browser permissions provide one place to start. Chrome's cookies API documentation explains that access to a site's cookies requires both permission to use cookies and access to that particular site. That identifies a capability to investigate. It does not establish that the extension exports credentials: determining that requires examining the actual data flow and destination. Permission review and runtime observation serve different purposes.

How Automation Tools Handle Session Access

HeyReach provides a concrete example of how access moves from a browser to a cloud service. In the version reviewed, connecting an account collects LinkedIn cookies from the browser and includes them in a request to the vendor's servers. These cookies can carry the authority of an existing login, allowing a remote system to attempt actions through that session. The security question therefore extends beyond which profile data the tool collects: the business also needs to understand who receives its authenticated access and how that access can be withdrawn.

Waalaxy Alien Copilot illustrates a different arrangement. The reviewed extension uses cookies to recognize the user's account on Waalaxy's own service; its declared cookie access does not cover LinkedIn. It adds controls to LinkedIn pages and can ask Waalaxy's cloud service to start an import. Starting a cloud task, however, does not reveal how the remote service obtained its access. The inspected extension did not show the same direct transfer of LinkedIn cookies found in HeyReach. An earlier Waalaxy extension was a separate product package, so its findings cannot automatically be applied to Alien Copilot.

How LinkedIn Detects Extensions and Browser Signals

LinkedIn can also obtain information about software around a session. In a January 2026 analysis of LinkedIn's extension detection, Castle researcher Antoine Vastel described JavaScript that checks known extension resources. If an extension exposes a particular file to the page, a successful request can reveal its presence. This can happen without the user starting an automated workflow.

Dux-Soup shows how an extension can leave a recognizable trace while helping process a page. The reviewed version makes one of its components accessible to LinkedIn pages. That component also appears among the targets in the archived extension-detection data. It observes selected responses arriving from LinkedIn and passes copies to other parts of the extension. This connects two mechanisms: an extension can handle information inside the page and expose something the website can look for. Actual detection still depends on browser behavior and the checks running at that moment.

Stay tuned for Part two, where we look at what these detection signals really mean and how enterprises can govern, monitor, and revoke the access automation tools receive.

Contributors
Michael Chukwube

Co-Founder, StartUp Growth Guide

Blogs posted to the RSAConference.com website are intended for educational purposes only and do not replace independent professional judgment. Statements of fact and opinions expressed are those of the blog author individually and, unless expressly stated to the contrary, are not the opinion or position of RSAC™ Conference, or any other co-sponsors. RSAC Conference does not endorse or approve, and assumes no responsibility for, the content, accuracy or completeness of the information presented in this blog.


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